BI & Data Warehouse Engineer (m/f/d)

AMCS Group; Cebu City; On-site; PHP 900,000 - 1,300,000; Full time

Benefits offered by this job

Health insurance covering dependents

Additional allowances

Learning & development platform

25 days annual leave

Global collaboration with stakeholders

Job summary

Quentic, an AMCS Group company, is hiring a BI & Data Warehouse Engineer base in Cebu City, Philippines, with a daily 4‑hour overlap with Germany. You will design data models, build data pipelines and maintain BI reports to enable reliable analytics and decision‑making across the organisation.

You will work with stakeholders to translate business questions into scalable data solutions, ensure data quality and governance, and contribute to the modern BI and data engineering practices in an

Qualifications

• 2+ years of experience in business intelligence, analytics engineering, data warehousing or a similar data‑focused role.
• Strong SQL skills and hands‑on experience with data modelling, data warehouses or BI platforms.
• Experience creating dashboards and reports in Power BI, Tableau, Looker or a comparable BI tool.
• Basic experience with ETL / ELT processes, data pipelines and transformation tools such as dbt is an advantage.
• Strong analytical and problem‑solving skills with a structured, documentation‑oriented mindset.
• Professional English proficiency and the ability to communicate clearly with international stakeholders.

Responsibilities

• Design, build and maintain data warehouse structures, semantic models and trusted datasets as a reliable single source of truth.
• Develop and optimise data pipelines, ELT processes and automated data transformations for business‑critical reporting.
• Create and maintain dashboards, reports and self‑service analytics solutions, especially in Power BI or similar BI platforms.
• Partner with business stakeholders to understand reporting needs, define KPIs and translate requirements into actionable analytics.
• Ensure data quality, consistency, documentation, lineage and appropriate access controls across reporting and analytics solutions.
• Support users with training, documentation and self‑service resources to strengthen data‑driven decision‑making.
• Monitor, troubleshoot and continuously improve reporting processes, data pipelines and BI performance.
• Contribute ideas for modern BI, analytics and data engineering practices in an international technology environment.
• Use AI tools thoughtfully in daily work to improve quality, efficiency, and outcomes, while applying strong judgment, verification, and full ownership of the final result.

Skills

SQL

Data modelling

Data warehousing

BI platforms

Dashboards

Analytical thinking

English proficiency

AI tools usage

Tools

Power BI

Tableau

Looker

dbt

Job description

BI & Data Warehouse Engineer (m/f/d)

Location: Cebu City / Philippines

Work schedule: 4:00 PM to 1:00 AM local time in Cebu

Passionate personalities wanted for sustainable software

Our mission: We connect, engage and inspire all EHS and ESG stakeholders. With innovative digital solutions, we create clarity and guidance in the fields of occupational safety, environmental management, quality and sustainability. Become part of our vision and help us drive safe and environmentally friendly business practices with state‑of‑the‑art software.

As BI & Data Warehouse Engineer, you will help build and maintain the data foundation that enables reliable reporting, analytics and business decision‑making across the organisation. Based in the Philippines and working from 4:00 PM to 1:00 AM local time in Cebu, you will ensure a daily 4‑hour overlap with Germany from 9:00 AM to 1:00 PM CET. You will design data models, develop data pipelines, maintain BI reports and ensure that business teams have access to accurate, trusted and well‑documented data. You will work closely with stakeholders, analysts and technical teams to translate business questions into scalable data solutions and continuously improve our BI and data warehouse environment.

Your Responsibilities

• Design, build and maintain data warehouse structures, semantic models and trusted datasets as a reliable single source of truth.
• Develop and optimise data pipelines, ELT processes and automated data transformations for business‑critical reporting.
• Create and maintain dashboards, reports and self‑service analytics solutions, especially in Power BI or similar BI platforms.
• Partner with business stakeholders to understand reporting needs, define KPIs and translate requirements into actionable analytics.
• Ensure data quality, consistency, documentation, lineage and appropriate access controls across reporting and analytics solutions.
• Support users with training, documentation and self‑service resources to strengthen data‑driven decision‑making.
• Monitor, troubleshoot and continuously improve reporting processes, data pipelines and BI performance.
• Contribute ideas for modern BI, analytics and data engineering practices in an international technology environment.
• Use AI tools thoughtfully in daily work to improve quality, efficiency, and outcomes, while applying strong judgment, verification, and full ownership of the final result.

What We Offer

• Health insurance covering up to three dependents
• Additional allowances
• Access to a comprehensive learning and development platform
• 25 days of annual leave
• A meaningful role in shaping reliable BI, reporting and data warehouse solutions for a growing international organisation.
• Collaboration with international stakeholders and cross‑functional teams in a supportive environment.
• Access to a comprehensive learning and development platform

Your Profile

• 2+ years of experience in business intelligence, analytics engineering, data warehousing or a similar data‑focused role.
• Good SQL skills and hands‑on experience with data modelling, data warehouses or BI platforms.
• Experience creating dashboards and reports in Power BI, Tableau, Looker or a comparable BI tool.
• Basic experience with ETL / ELT processes, data pipelines and transformation tools such as dbt is an advantage.
• Strong analytical and problem‑solving skills with a structured, documentation‑oriented mindset.
• High quality standards regarding data accuracy, consistency, governance and access control.
• Professional English proficiency and the ability to communicate clearly with international stakeholders.
• Hands‑on attitude and motivation to turn business questions into trusted, scalable data solutions.
• You are confident using AI tools in a professional context, can guide and review AI‑generated outputs critically, and take responsibility for the quality and accuracy of your work.

About Us Quentic, an AMCS Group company, is a leading SaaS provider in the European EHS (Environment, Health, Safety) and ESG (Environmental, Social, Governance) market. With more than 250 colleagues across several locations in Europe, we support companies in implementing safe and sustainable business practices through digital solutions. Our modular cloud platform enables seamless collaboration across departments and countries and ensures efficient, compliant management of safety, environmental and sustainability processes. As part of AMCS Group, a global technology leader for environmental software, Quentic combines the agility of a focused start‑up with the strength of an international group.